Capital on Tap

Lead Data Scientist

Job description

The Role

As our in-house data science expert, you will lead our data science projects and collaborate with colleagues across the business to assist in the management of a £500m credit portfolio.

Are you keen to make a direct impact to the bottom line of the business through direct implementation of your ideas, theories, and models from start to finish?

In this role you will:

  • Develop predictive models and work on analytical assignments for both UK and US teams, influencing our strategy across the entire customer lifecycle from marketing through to collections.
  • Take a direct lead on analytical projects and guide junior team members
  • Help coach and develop colleagues in various departments on data science tools and techniques
  • Collaborate with business stakeholders to ensure analysis and models can be implemented seamlessly without deterioration to customer experience or complex IT builds

What do we require?

  • Extensive experience building statistical models in Python and extracting/manipulating data in SQL
  • Experience working on analytical projects
  • Able to work autonomously and to display strong judgement and proactivity.
  • Commercial acumen and a robust understanding of the economics underpinning credit portfolios
  • Experience in consulting, startups or other fast paced environments is beneficial
  • Experience with some of our data stack would be beneficial but this is not a requirement. We use Snowflake (SQL based) and DBT, FiveTran. Python / JupyterLab. Looker. Kubernetes cluster, hosted in Azure.

What you'll get in return

  • Competitive compensation based on experience
  • Opportunities to develop in a new and growing team
  • Annual Learning Budget of £1000 to spend on your development
  • Hybrid working arrangements
  • 28 Days Holiday (plus bank holidays)
  • Private Healthcare through Vitality

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